// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//
// The test code can then read and test the value of that counter:
//
// auto* reader = TFE_MonitoringNewCounterReader("name");
// test();
// int64_t value = TFE_MonitoringReadCounter1(reader, "label-value");

    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

    /** Increments all counters by the values in {@code other}. */
    public void incrementBy(StatsCounter other) {
      CacheStats otherStats = other.snapshot();
      hitCount.add(otherStats.hitCount());
      missCount.add(otherStats.missCount());
      loadSuccessCount.add(otherStats.loadSuccessCount());

    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

    /** Increments all counters by the values in {@code other}. */
    public void incrementBy(StatsCounter other) {
      CacheStats otherStats = other.snapshot();
      hitCount.add(otherStats.hitCount());
      missCount.add(otherStats.missCount());
      loadSuccessCount.add(otherStats.loadSuccessCount());

  return context->GetContextId();
}

void TFE_MonitoringCounterCellIncrementBy(TFE_MonitoringCounterCell* cell,
                                          int64_t value) {
  cell->cell.IncrementBy(value);
}

int64_t TFE_MonitoringCounterCellValue(TFE_MonitoringCounterCell* cell) {
  return cell->cell.value();
}

TFE_MonitoringCounter0* TFE_MonitoringNewCounter0(const char* name,

    }

    @Override
    public CacheStats stats() {
      SimpleStatsCounter aggregator = new SimpleStatsCounter();
      aggregator.incrementBy(localCache.globalStatsCounter);
      for (Segment<K, V> segment : localCache.segments) {
        aggregator.incrementBy(segment.statsCounter);
      }
      return aggregator.snapshot();
    }

    @Override
    public void cleanUp() {